Data Governance Use-Case Enablement Assessment
Data & AI
Motivation
Implementing a data governance framework ensures that your organization's data is accurate, consistent, secure, and used responsibly. It supports compliance with regulatory requirements, reduces risks associated with data breaches, and enhances decision-making by effective and efficient use of information. A robust data governance framework also fosters a culture of accountability and transparency, enabling better collaboration and trust across the organization.
What we bring
With over 20 years of experience in software and data architectures for many of the world’s largest enterprises, PRODYNA is well-equipped to help you design and establish a comprehensive data governance framework. Our expertise in the area of Data Governance includes:
- Data Governance Standards: Introduction of processes and tooling that helps you accomplish the goal quickly
- Data Quality Management: Implementing processes to monitor and improve data quality.
- Metadata Management: Ensuring that data is well-documented and easily accessible.
- Data Security and Privacy: Protecting sensitive data and ensuring compliance with data protection regulations.
- Data Governance Bodies: Establishing roles and responsibilities for data management.
- Change Management: Facilitating organizational change to support data governance initiatives.
What you need
To successfully conduct a data governance assessment, your organization will need to provide:
- Current Data Landscape: Information on existing data assets, processes, and systems.
- Actual organizational roles and structure: Details of current organizational structure and relevant roles.
- Stakeholder Engagement: Involvement of key stakeholders across the organization.
What you get
The goal of our data governance assessment is to provide a comprehensive overview of the current state and the specific needs of your organization regarding data governance. Based on this, we define a tailored project and data scope, identify key focus areas, and develop a consistent approach for implementing a sustainable data governance framework. PRODYNA will guide you through the following topics:
Before Workshop
– Interview
Strategic Business Goals:
- Define the strategic goals for the data governance use case.
- Describe the most important objects for measuring the success of the project.
- Initial determination of the data scope and related processes.
Workshop Step 1
– Developing Data Scope
Value Chain Analysis & Data Scoping:
- Visualize the core processes associated with the strategic goal.
- Record the underlying data sources and data types. Prioritize by assigning the datatypes to the previously defined objectives.
- Evaluate the most important data types based on various criteria to identify the relevant areas of action and the specified data scope.
Workshop Step 2
– Check Governance Maturity
Quick Check Governance Maturity:
- Based on the data types prioritized for the data scope
- Immediate visualization of the strengths and weaknesses of governance within the company.
- Augmentation, refinement, or modification of the previously defined objectives and key tasks.
Workshop Step 3
– Understand and engage people & organisation
Stakeholder-Analysis:
- Conducting a stakeholder analysis to identify all relevant project stakeholders.
- Deriving potential native candidates for future governance roles.
Empathy Mapping:
- Early identification of major needs, challenges, and expectations regarding data handling and data governance.
- Creation of an important foundation for developing viable and accepted governance structures.
Workshop Step 4
– Derive Governance Objectives & Key Tasks
Governance Objectives & Key Tasks:
- Final definition of governance objectives as top priorities for the subsequent project.
- Prioritization of key tasks derived during the workshop.
After Workshop
Project planning:
- Initial adaptation of the PRODYNA Data Governance Framework to the identified governance objectives.
- Planning of the approach and priorities for the governance adoption phase.
Quick facts
- Effort: 1-3 days depending on the scope
- Overview of the status quo and the individual needs of your organization in regards to data governance
- Documented, evaluated (in terms of content) and prioritized list of central tasks for subsequent concept & implementation
- First (monetarily) evaluated pilot project plan based on PRODYNA Governance Framework and the initial preconditions of your organization
Benefits
- Common understanding of the status quo and the associated goals of all project stakeholders
- Objective assessment of the situation in the relevant fields of action of data governance
- Specific, prioritized recommendation for key focus areas
- Involvement of a broad cross-section of employees as the first step in a change management process towards a modern data culture
Contact us
for more information.
David Wainwright
